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Grant: Discovery Grants Program - Individual

Memorial University of Newfoundland

$27,000.00

Combinatorial Designs, Graphs, and Networks

FY 2023-24

Summary
Dr. Pike's research group tackles problems in the domains of combinatorial design theory and graph theory. Graphs are mathematical abstractions that represent the core elements of networks, namely their nodes and links between them. Graph theoretic models of networks provide a unified context in which to study diverse network problems. Problems of interest include inhibiting the spread of misinformation through social networks, and how to isolate malware in a computer network. Combinatorial designs are mathematical structures that show how to form a collection of subsets from a master set so that elements occur together a prescribed number of times among the subsets. Designs have natural applications in scheduling. For example, a type of design called a Steiner triple system can be used by a teacher who wants to assign each student to several team projects over the course of the school year so that each team has 3 students and also so that each pair of students works together in a team exactly once. Designs also have applications in coding theory and cryptography. We will study designs with strong structural properties, and which in turn correspond to scheduling scenarios with extra constraints imposed on them. We also intend to prove or refute a conjecture by Cioaba et al. that every connected strongly regular graph of even order has a Class 1 edge colouring; the remaining open case of this conjecture is for block intersection graphs of designs. One of the main goals of this proposal is to provide advanced training opportunities for students, who will acquire experience in mathematical problem solving, technical writing, and programming with parallel computing. Students will be prepared to compete in the job market and contribute to the Canadian economy.
Program
Discovery Grants Program - Individual
Location
Newfoundland and Labrador, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
RGPIN-2022-03829
Name nom
Pike, David
Department département
Mathematics and Statistics
Organization id
89
Institution établissement
Memorial University of Newfoundland
Province en
Newfoundland and Labrador
Province fr
Terre-Neuve-et-Labrador
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2022
Award amount
27000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1508
Committee name en
Mathematics and Statistics
Committee name fr
Mathématiques et statistique
Area of application code
1205
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Mathematical sciences
Area of application fr
Sciences mathématiques
Research subject code
2713
Research subject group en
Information technology
Research subject group fr
Algorithms
Research subject en
Technologie de l'information
Research subject fr
Algorithmes
Application title
Combinatorial Designs, Graphs, and Networks
Keyword
algorithms; colourings; combinatorial computing; combinatorics; computational complexity; design theory; graph decompositions; graph theory; hypergraphs; pursuit and evasion models
Application summary
Dr. Pike's research group tackles problems in the domains of combinatorial design theory and graph theory. Graphs are mathematical abstractions that represent the core elements of networks, namely their nodes and links between them. Graph theoretic models of networks provide a unified context in which to study diverse network problems. Problems of interest include inhibiting the spread of misinformation through social networks, and how to isolate malware in a computer network. Combinatorial designs are mathematical structures that show how to form a collection of subsets from a master set so that elements occur together a prescribed number of times among the subsets. Designs have natural applications in scheduling. For example, a type of design called a Steiner triple system can be used by a teacher who wants to assign each student to several team projects over the course of the school year so that each team has 3 students and also so that each pair of students works together in a team exactly once. Designs also have applications in coding theory and cryptography. We will study designs with strong structural properties, and which in turn correspond to scheduling scenarios with extra constraints imposed on them. We also intend to prove or refute a conjecture by Cioaba et al. that every connected strongly regular graph of even order has a Class 1 edge colouring; the remaining open case of this conjecture is for block intersection graphs of designs. One of the main goals of this proposal is to provide advanced training opportunities for students, who will acquire experience in mathematical problem solving, technical writing, and programming with parallel computing. Students will be prepared to compete in the job market and contribute to the Canadian economy.